Diagnostic performance of dynamic volume perfusion CT for differentiation of head and neck cancer from healthy tissue and post-therapeutic changes

Autor:	Bernd Hamm, Kilian Kreutzer, Seyd Shnayien, Robert Gaudin, Keno K. Bressem, Max Heiland, Daniel Troeltzsch, Stefan M Niehues
Rok vydání:	2021
Předmět:	Male Physiology Angiogenesis Perfusion Imaging Healthy tissue 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Physiology (medical) Medical imaging medicine Humans Prospective Studies Prospective cohort study Head and neck Aged Aged 80 and over business.industry Head and neck cancer Cancer Cell Differentiation Hematology Middle Aged medicine.disease Head and Neck Neoplasms 030220 oncology & carcinogenesis Female Tomography X-Ray Computed Cardiology and Cardiovascular Medicine Nuclear medicine business Perfusion
Zdroj:	Clinical Hemorheology and Microcirculation. 78:93-101
ISSN:	1875-8622 1386-0291
DOI:	10.3233/ch-200919
Popis:	BACKGROUND: Post-therapeutic tissue is bradytrophic and thus has low perfusion values in PCT. In contrast, malignant tissue is expected to show higher perfusion values as cancer growth partially depends on angiogenesis. OBJECTIVES: This prospective study investigates perfusion computed tomography (PCT) for the post-therapeutic detection of cancer in the head and neck region. METHODS: 85 patients underwent PCT for 1) initial work-up of head and neck cancer (HNC; n=22) or 2) for follow-up (n=63). Regions of interest (ROIs) were placed in confirmed tumour, a corresponding location of benign tissue, and reference tissue. Perfusion was calculated using a single input maximum slope algorithm. Statistical analysis was performed with the Mann-Whitney U-test. RESULTS: PCT allowed significant differentiation of malignant tissue from post-therapeutic tissue after treatment for HNC (p=0.018). Significance was even greater after normalization of perfusion values (p=0.007). PCT allowed highly significant differentiation of HNC from reference tissue (p
Databáze:	OpenAIRE
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